I am Mintong Kang, a third-year Ph.D. student at UIUC CS advised by Prof. Bo Li. My research interest lies in trustworthy machine learning and AI safety. I am interested in uncovering the vulnerability of advanced ML models and developing certifiable defense mechanisms to safeguard their universal deployments. I am recently working on the trustworthiness of multi-modal models (VLM, audio/video LLMs) and LLM agent systems.
Before that, I got the bachelor of engineering degree from the CS department of Zhejiang University. I work with Prof. Xi Li at DCD Lab @ Zhejiang University. I also luckily work with Prof. Alan L. Yuille at CCVL Lab @ Johns Hopkins University.
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
[ICML 2024] (Forty-first International Conference on Machine Learning)
[PDF] [Code]
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
[ICML 2024] (Forty-first International Conference on Machine Learning)
[PDF] [Code]
COLEP: Certifiably Robust Learning-Reasoning
Conformal Prediction Via Probablistic Circuits
Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
[ICLR 2024] (Twelfth International Conference on Learning Representations)
[PDF] [Code]
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang*, Weixin Chen*, Hengzhi Pei*, Chulin Xie*, Mintong Kang*, Chenhui Zhang*, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
[NeurIPS 2023] (Outstanding Paper Award, Oral) (Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track)
[PDF] [Code]
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
Mintong Kang, Dawn Song, Bo Li
[NeurIPS 2023] (Thirty-seventh Conference on Neural Information Processing Systems)
[PDF] [Code]
Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang*, Linyi Li*, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
[NeurIPS 2022] (Spotlight) (Thirty-sixth Conference on Neural Information Processing Systems)
[PDF] [Code]
Fairness in Federated Learning via Core-Stability
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
[NeurIPS 2022] (Spotlight) (Thirty-sixth Conference on Neural Information Processing Systems)
[PDF] [Code]
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou
[IBSI 2023] (IEEE International Symposium on Biomedical Imaging 2023)
[PDF] [Code] [Slide]
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs
Mintong Kang, Linyi Li, Bo Li
[SaTML 2023] (IEEE Conference on Secure and Trustworthy Machine Learning 2023)
[PDF] [Code]
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li
[TPAMI 2021] (IEEE Transactions on Pattern Analysis and Machine Intelligence 2021)
[PDF] [Code]
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